Optimization of Train Speed in Heavy Density of Indian Railway Traffic using Genetic Algorithm

Soumya Sengupta, Dr. Amartya Neogi

Abstract: The railway transportation system has much advantage in eco-friendliness, punctuality and safety compared to any other transportation system. Most of the railway system administrators have to control and operate under limited resource such as trains and facilities. It is necessary to control travelling time for efficient operation in the railway system because the board rate of passenger is inconstant with time variance. In this study, a new optimization method considering operation time is proposed by using genetic algorithm. The intelligent train speed regulation algorithm plays a very important role in the automatic train control system. This algorithm can be used to improve passenger travel comfort at each defined inter-section of travel time. In this algorithm each travel time target speed will be reflected by its particular speed profile, which has been optimized by genetic algorithm.

Keywords: Genetic Algorithm, Indian Railway, Passenger Demand, Railway Speed, Timetable